Sergio Manzetti | Mathematics | Best Researcher Award

Dr. Sergio Manzetti | Mathematics | Best Researcher Award

Linnaeus University | France

Dr. Sergio Manzetti is a distinguished researcher whose interdisciplinary work bridges mathematics, quantum information theory, and nanotechnology. With an h-index of 26, 4,946 citations, and numerous scholarly documents, his research demonstrates both depth and global impact. His expertise spans mathematical analysis, Fourier analysis of partial differential equations (PDEs), quantum chemistry, computational systems, and nonlinear dynamics, contributing significantly to the understanding of quantum systems and wave phenomena. Dr. Manzetti’s academic foundation includes advanced degrees from Uppsala University, Linnaeus University, Queensland University of Technology, and Oslo University College, where he specialized in the mathematical and physical sciences. His professional experience is equally impressive—serving as an EU expert for Marie-Curie Fellowships, AI prompt reviewer at Mercor Intelligence, and researcher at Fjord-Research AS. He has co-authored influential publications in Analysis and Mathematical Physics, Advanced Theory and Simulations, and RSC Advances, addressing topics from eigenvalue problems of non-self-adjoint operators to supersymmetric wave equations and nanomaterial design. Skilled in Python, Mathematica, and MATLAB, Dr. Manzetti combines theoretical rigor with computational precision. His contributions to quantum information systems, rogue wave modeling, and nanotechnology continue to advance interdisciplinary research, positioning him as a leading figure in applied mathematics and theoretical chemistry.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Manzetti, S., & Khrennikov, A. (2025, September 28). Quantum and topological dynamics of GKSL equation in camel-like framework. Entropy.

Manzetti, S. (2025, September 22). Geometric formalism for quantum entanglement via B³ and S⁰ mappings. Preprint.

Manzetti, S., & Khrennikov, A. (2025, July 11). Quantum and topological dynamics of the GKSL equation in the camel-like framework. Preprint.

Kumar, R., Hiremath, K. R., & Manzetti, S. (2024, April). A primer on eigenvalue problems of non-self-adjoint operators. Analysis and Mathematical Physics.

Manzetti, S. (2021). Spectral properties of non-self adjoint operators: A review of the recent literature. Unpublished manuscript.

Kamerlin, N., Delcey, M. G., Manzetti, S., & van der Spoel, D. (2020, August 24). Toward a computational ecotoxicity assay. Journal of Chemical Information and Modeling.

Manzetti, S., & Trounev, A. (2020, January). Analytical solutions for a supersymmetric wave-equation for quasiparticles in a quantum system. Advanced Theory and Simulations.

Manzetti, S. (2020, January). Electromagnetic vorticity in a square-well crystal system described by a supersymmetric wave-equation. Advanced Theory and Simulations.

Ghisi, R., Vamerali, T., & Manzetti, S. (2019). Accumulation of perfluorinated alkyl substances (PFAS) in agricultural plants: A review. Environmental Research.

van der Spoel, D., Manzetti, S., Zhang, H., & Klamt, A. (2019, August 27). Prediction of partition coefficients of environmental toxins using computational chemistry methods. ACS Omega.

Manzetti, S., & Gabriel, J.-C. P. (2019, March 2). Methods for dispersing carbon nanotubes for nanotechnology applications: Liquid nanocrystals, suspensions, polyelectrolytes, colloids and organization control. International Nano Letters.

Manzetti, S., & Trounev, A. (2019, May). Supersymmetric Hamiltonian and vortex formation model in a quantum nonlinear system in an inhomogeneous electromagnetic field. Advanced Theory and Simulations.

Behzadi, H., Manzetti, S., Dargahi, M., Roonasi, P., & Khalilnia, Z. (2018). Application of calculated NMR parameters, aromaticity indices and wavefunction properties for evaluation of corrosion inhibition efficiency of pyrazine inhibitors. Journal of Molecular Structure.

Manzetti, S. (2018). Applied quantum physics for novel quantum computation approaches: An update. Computational Mathematics and Modeling.

Manzetti, S. (2018). Mathematical modeling of rogue waves, a review of conventional and emerging mathematical methods and solutions. Preprint.

Manzetti, S. (2018, November 8). Derivation and numerical analysis of an attenuation operator for non-relativistic waves. Scientific Reports.

Manzetti, S., & Lu, T. (2018, August 20). Addendum: Solvation energies of butylparaben, benzo[a]pyrene diol epoxide, perfluorooctanesulfonic acid, and DEHP in complex with DNA bases. Chemical Research in Toxicology.

Manzetti, S. (2018, June 20). Mathematical modeling of rogue waves: A survey of recent and emerging mathematical methods and solutions. Axioms.

Raghavendran Prabakaran | Mathematics | Best Scholar Award

Mr. Raghavendran Prabakaran | Mathematics | Best Scholar Award

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | India

Author Profile

Scopus

Orcid

Google Scholar

 

Early Academic Pursuits

Mr. Raghavendran Prabakaran began his academic journey with a strong foundation in mathematics. He completed his B.Sc. in Mathematics from the prestigious Loyola College, Chennai. Building on this, he pursued his M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His dedication to research led him to enroll in a Ph.D. program at the same institution, focusing on cutting-edge mathematical applications in AI and cryptography.

Professional Endeavors

Mr. Prabakaran has actively engaged in interdisciplinary research through internships at Symbiosis Institute of Digital and Telecom Management, where he contributed to innovative projects related to Brain-Computer Interfaces (BCI), AI in neuroscience, and energy forecasting. These roles not only refined his technical skills but also positioned him at the intersection of applied mathematics and next-generation AI applications.

Contributions and Research Focus

His primary research areas include Fractional Differential Equations, Control Theory, Integral Transforms, Fuzzy Analysis, Cryptography, and Artificial Neural Networks. His Ph.D. dissertation explores advanced integro-differential systems with state-dependent delays, which have direct implications in AI modeling and secure communication systems. Mr. Prabakaran’s passion for innovation is evident from his 12 published patents, introducing transformative concepts such as the P-Transform, A-Transform, Y-Transform, and V-Transform for applications ranging from signal processing to robotics and environmental monitoring.

Accolades and Recognition

Mr. Raghavendran Prabakaran boasts an impressive academic portfolio, including 22 journal articles, 12 conference papers, 13 book chapters, and one authored book. Several of his publications appear in Q1 journals indexed in Web of Science (WoS) and Scopus, reflecting the high quality of his research. His scholarly influence is evident through 184 citations and an h-index of 9 on Scopus, 79 citations and an h-index of 6 on Web of Science, and 219 citations with an i10-index of 8 on Google Scholar. His pioneering research, particularly in AI-integrated control theory and the development of mathematical models for real-world applications, has earned widespread academic recognition and continues to impact multiple scientific domains.

Impact and Influence

Mr. Prabakaran’s research contributions resonate across disciplines, especially in AI, cryptography, energy systems, neuroscience, and robotics. His patented technologies have the potential to revolutionize fields like healthcare (Parkinson’s diagnosis), transport (driver alert systems), and disaster management (forest fire detection). He is recognized as a bridge between theoretical mathematics and applied innovation.

Legacy and Future Contributions

As a dynamic scholar with an impressive blend of mathematical precision and technological foresight, Mr. Raghavendran Prabakaran is poised to lead future innovations in AI-driven control systems, smart robotics, and secure communication protocols. His forward-thinking approach ensures that his work will continue to influence academic research, industrial applications, and policy-level technological adoption for years to come.

Publications


A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar, Junaid Ahmad, Walid Emam
Journal: Fractal and Fractional
Year: 2025


Existence, Uniqueness, and Stability Results of Fractional Volterra-Fredholm Integro-Differential Equations with State Dependent Delay
Authors: Tharmalingam Gunasekar, Prabakaran Raghavendran, Kottakkaran Sooppy Nisar
Journal: Qualitative Theory of Dynamical Systems
Year: 2025


R-Transform Techniques for Strengthening Cryptographic Protocols in Digital Supply Networks
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar
Journal: Global Integrated Mathematics
Year: 2025


Analytical Study of Existence, Uniqueness, and Stability in Impulsive Neutral Fractional Volterra-Fredholm Equations
Authors: Prabakaran Raghavendran, T. Gunasekar, Shyam Sundar Santra, Dumitru Baleanu
Journal: Journal of Mathematics and Computer Science
Year: 2025


Application of Pourreza Transform to Solve Fractional Integro-Differential Equations
Authors: T. Gunasekar, P. Udhayasankar, Prabakaran Raghavendran, M. Suba
Journal: Journal of Applied Mathematics and Informatics
Year: 2025